Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach
| Autor: | Vigneshwaran Subbaraju, Dipanjan Chakraborty, Karl Aberer, Zhixian Yan, Archan Misra |
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| Rok vydání: | 2012 |
| Předmět: |
Mobile radio
NCCR-MICS/ESDM Computer science NCCR-MICS Real-time computing 020206 networking & telecommunications 02 engineering and technology Energy consumption Accelerometer Activity recognition Energy conservation Obstacle continuous activity recognition 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Android (operating system) energy efficient learning Efficient energy use |
| Zdroj: | ISWC |
| DOI: | 10.1109/iswc.2012.23 |
| Popis: | Power consumption on mobile phones is a painful obstacle towards adoption of continuous sensing driven applications, e.g., continuously inferring individual’s locomotive activities (such as ‘sit’, ‘stand’ or ‘walk’) using the embedded accelerometer sensor. To reduce the energy overhead of such continuous activity sensing, we first investigate how the choice of accelerometer sampling frequency & classification features affects, separately for each activity, the “energy overhead” vs. “classification accuracy” tradeoff. We find that such tradeoff is activity specific. Based on this finding, we introduce an activity-sensitive strategy (dubbed “A3R” – Adaptive Accelerometer-based Activity Recognition) for continuous activity recognition, where the choice of both the accelerometer sampling frequency and the classification features is adapted in real-time, as an individual performs daily lifestyle-based activities. We evaluate the performance of A3R using longitudinal, multi-day observations of continuous activity traces. We also implement A3R for the android platform and carry out evaluation of energy savings. We show that our strategy can achieve an energy savings of 50% under ideal conditions. For a real test case with users running the application on their android phones, we achieve an energy savings of 20-25%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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